Model for electric energy consumption in Eastern Saudi Arabia

Ahmed Z. Al-Garni; Yaagoub N. Al-Nassar; Syed M. Zubair; Abdallah Al-Shehri

doi:10.1080/00908319708908853

Model for electric energy consumption in Eastern Saudi Arabia

Ahmed Z. Al-Garni^*, Yaagoub N. Al-Nassar, Syed M. Zubair, Abdallah Al-Shehri

^*Corresponding author for this work

Research output: Contribution to specialist publication › Article

13 Scopus citations

Abstract

Electrical energy consumption in the eastern province of Saudi Arabia is modeled as a function of weather data, global solar radiation, population, and gross domestic product per capita. Five yean of data none been used to develop the energy consumption model. Variable selection in the regression model is carried out by using the general stepping-regression technique. Model adequacy a determined from a residual analysis technique. Model validation aims to determine if the model will function successfully in its intended operating field. In this regard, new energy consumption data for a sixth year are collected, and the results predicted by the regression model are compared with the new data set. Finally, the sensitivity of the model is examined. It is found that the model is strongly influenced by the ambient temperature.

Original language	English
Pages	325-334
Number of pages	10
Volume	19
No	4
Specialist publication	Energy Sources
DOIs	https://doi.org/10.1080/00908319708908853
State	Published - 1997

Bibliographical note

Funding Information:
The authors acknowledge support from KFUPM, Division I1 of the Research Institute, and from the Saudi Consolidated Electric Company. Address correspondence to Dr. Ahmed Z. Al-Garni, Box 842, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia. E-mail: [email protected]

Keywords

Electric energy
Forecasting
Modeling

ASJC Scopus subject areas

General Chemical Engineering
Fuel Technology
Energy Engineering and Power Technology

Access to Document

10.1080/00908319708908853

Cite this

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title = "Model for electric energy consumption in Eastern Saudi Arabia",

abstract = "Electrical energy consumption in the eastern province of Saudi Arabia is modeled as a function of weather data, global solar radiation, population, and gross domestic product per capita. Five yean of data none been used to develop the energy consumption model. Variable selection in the regression model is carried out by using the general stepping-regression technique. Model adequacy a determined from a residual analysis technique. Model validation aims to determine if the model will function successfully in its intended operating field. In this regard, new energy consumption data for a sixth year are collected, and the results predicted by the regression model are compared with the new data set. Finally, the sensitivity of the model is examined. It is found that the model is strongly influenced by the ambient temperature.",

keywords = "Electric energy, Forecasting, Modeling",

author = "Al-Garni, \{Ahmed Z.\} and Al-Nassar, \{Yaagoub N.\} and Zubair, \{Syed M.\} and Abdallah Al-Shehri",

note = "Funding Information: The authors acknowledge support from KFUPM, Division I1 of the Research Institute, and from the Saudi Consolidated Electric Company. Address correspondence to Dr. Ahmed Z. Al-Garni, Box 842, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia. E-mail: [email protected]",

year = "1997",

doi = "10.1080/00908319708908853",

language = "English",

volume = "19",

pages = "325--334",

journal = "Energy Sources",

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T1 - Model for electric energy consumption in Eastern Saudi Arabia

AU - Al-Garni, Ahmed Z.

AU - Al-Nassar, Yaagoub N.

AU - Zubair, Syed M.

AU - Al-Shehri, Abdallah

N1 - Funding Information: The authors acknowledge support from KFUPM, Division I1 of the Research Institute, and from the Saudi Consolidated Electric Company. Address correspondence to Dr. Ahmed Z. Al-Garni, Box 842, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia. E-mail: [email protected]

PY - 1997

Y1 - 1997

N2 - Electrical energy consumption in the eastern province of Saudi Arabia is modeled as a function of weather data, global solar radiation, population, and gross domestic product per capita. Five yean of data none been used to develop the energy consumption model. Variable selection in the regression model is carried out by using the general stepping-regression technique. Model adequacy a determined from a residual analysis technique. Model validation aims to determine if the model will function successfully in its intended operating field. In this regard, new energy consumption data for a sixth year are collected, and the results predicted by the regression model are compared with the new data set. Finally, the sensitivity of the model is examined. It is found that the model is strongly influenced by the ambient temperature.

AB - Electrical energy consumption in the eastern province of Saudi Arabia is modeled as a function of weather data, global solar radiation, population, and gross domestic product per capita. Five yean of data none been used to develop the energy consumption model. Variable selection in the regression model is carried out by using the general stepping-regression technique. Model adequacy a determined from a residual analysis technique. Model validation aims to determine if the model will function successfully in its intended operating field. In this regard, new energy consumption data for a sixth year are collected, and the results predicted by the regression model are compared with the new data set. Finally, the sensitivity of the model is examined. It is found that the model is strongly influenced by the ambient temperature.

KW - Electric energy

KW - Forecasting

KW - Modeling

UR - https://www.scopus.com/pages/publications/0031142843

U2 - 10.1080/00908319708908853

DO - 10.1080/00908319708908853

M3 - Article

AN - SCOPUS:0031142843

SN - 0090-8312

VL - 19

SP - 325

EP - 334

JO - Energy Sources

JF - Energy Sources

ER -

Model for electric energy consumption in Eastern Saudi Arabia

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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